MULTIOBJECTIVE EVOLUTIONARY OPTIMIZATION OF GREENHOUSE VEGETABLE CROP DISTRIBUTIONS

被引：0

作者：

Marquez, A. L. ^{[1
]}

Manzano-Agugliaro, F.

Gil, C. ^{[1
]}

Canero-Leon, R.

Montoya, F. G.

Banos, R. ^{[1
]}

机构：

[1] Univ Almeria, Dept Comp Architecture & Elect, Carretera Sacramento S-N, Almeria, Spain

来源：

IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE | 2009年

关键词：

MultiObjective optimization; Greenhouse crop distribution; NSGA-II; msPESA; Risk management;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Multiobjective evolutionary algorithms (MOEAs) are known for their ability to optimize several objective functions simultaneously to provide a representative set of the Pareto front, which is a set of problem solutions representing a trade-off between the best values of each one of the objectives. This characteristic is specially interesting for the optimization of many real world problems, such as the allocation of land resources to maximize profit while reducing the economical risks associated to different distributions of crops in southern Spain, which has one of the largest concentrations of greenhouses in the world.

引用

页码：218 / +

页数：2

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